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On the Number of Linear Functions Composing Deep Neural Network: Towards
  a Refined Definition of Neural Networks Complexity

On the Number of Linear Functions Composing Deep Neural Network: Towards a Refined Definition of Neural Networks Complexity

23 October 2020
Yuuki Takai
Akiyoshi Sannai
Matthieu Cordonnier
ArXivPDFHTML

Papers citing "On the Number of Linear Functions Composing Deep Neural Network: Towards a Refined Definition of Neural Networks Complexity"

2 / 2 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
84
32
0
29 Apr 2023
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
115
600
0
14 Feb 2016
1